Case Study: CEVA Logistics boosts fulfillment capacity with SIMUL8 simulation-powered digital twin

CEVA Logistics saves 200 working hours a week with SIMUL8

CEVA Logistics, a global supply chain management company, faced challenges in optimizing the inbound operations of a fashion retailer's fulfillment center in Germany. The volatile nature of fast fashion demanded efficient resource allocation and cost control, but the complexity of the system made manual planning and risk assessment difficult. They turned to vendor SIMUL8 and its simulation-powered digital twin technology to address these issues.

SIMUL8 implemented a digital twin linked to real-time data from the fulfillment center, enabling detailed "what if" analysis and process optimization across inbound, storage, and outbound phases. This solution allowed planners to precisely allocate staff and resources. The results included an average saving of 200 working hours per week and a 2% increase in the facility's weekly capacity, all while minimizing operational risk.

CEVA Logistics